Graduate Data Science & Predictive Modeling Intern

Highmark Health; Maine; On-site; USD 25,000 - 35,000; Part time

Job summary

Highmark Health invites applicants for the Summer 2027 Predictive Modeling & Data Science Graduate Internship. This program provides hands-on experience in analytics, statistics, and machine learning to support business decisions and strategic initiatives.

As part of the advanced analytics team, interns collaborate with data scientists, analysts, and business partners to design, develop, and evaluate analytical solutions, translate findings into actionable insights, and contribute to end-to-end

Qualifications

• Bachelor’s degree; pursuing graduate degree in data-related field preferred.
• Experience with predictive modeling, ML, statistics, or analytics.
• Familiarity with data handling and visualization tools.
• Programming and analytical tool familiarity.
• Experience with data preparation, EDA, feature engineering, model evaluation.
• Ability to translate business questions into analytical approaches.

Responsibilities

• Communicate effectively with colleagues and business partners.
• Support end-to-end analytics lifecycle from data exploration to delivery.
• Assist in developing predictive models and evaluating results.
• Prepare and transform data for analysis and visualization.
• Present findings and recommendations to technical and business audiences.

Skills

Data science

Statistics

Analytics

Machine learning

Programming

Data visualization

Education

Bachelor's degree

Pursuing graduate degree

Tools

Python

R

SQL

Job description

Highmark Health invites applicants for the Summer 2027 Predictive Modeling & Data Science Graduate Internship. This program provides hands-on experience in analytics, statistics, and machine learning to support business decisions and strategic initiatives.

As part of the advanced analytics team, interns collaborate with data scientists, analysts, and business partners to design, develop, and evaluate analytical solutions, translate findings into actionable insights, and contribute to end-to-end